Communications of the ACM
New visual secret sharing schemes using probabilistic method
Pattern Recognition Letters
A new multi-secret images sharing scheme using Largrange's interpolation
Journal of Systems and Software
Secret image sharing with smaller shadow images
Pattern Recognition Letters
Probabilistic Visual Cryptography Schemes
The Computer Journal
Two secret sharing schemes based on Boolean operations
Pattern Recognition
The Haar Wavelet Transform of a Dendrogram
Journal of Classification
A fast VQ codebook generation algorithm using codeword displacement
Pattern Recognition
A Novel Difference Expansion Transform for Reversible Data Embedding
IEEE Transactions on Information Forensics and Security
Finite-state vector quantization for waveform coding
IEEE Transactions on Information Theory
Side match and overlap match vector quantizers for images
IEEE Transactions on Image Processing
Predictive classified vector quantization
IEEE Transactions on Image Processing
Block-based progressive visual secret sharing
Information Sciences: an International Journal
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Many secret sharing schemes for digital images have been developed in recent decades. Traditional schemes typically must deal with the problem of computational complexity, and other visual secret sharing schemes come with a higher transmission cost and storage cost; that is, each shadow size is m times as big as the original secret image. The new (2,n) secret sharing scheme for grayscale images proposed in this paper is based a combination of acceptable image quality using block truncation coding (BTC), high compression ratio discrete wavelet transform (DWT) and good subjective performance of the vector quantization (VQ) technique. Experimental results confirm that our proposed scheme not only generates a high quality reconstructed original image but also generates small, random-like grayscale shadows.